2) How large would a population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)
Random sampling is important because it assures that the conclusions you draw can be applied to your entire population.
The following could cause problems with random sampling:
1 - The experimenter selects a sample that is too small.
2 - The experimenter does not understand the population. The could lead to: